… , especially for surveillance in a forest environment. This research provides an … of sound
event data from a natural forest environment and evaluates the CNN capabilities of the detection …

… sounds and describe each sound. Sound event detection capability relies on the type of
sound… Although detecting sequences of distinct temporal sounds is straightforward, the situation …

… In this work, a procedure to identify sound events in an underground garage is developed.
The aim of the work is to detect sounds identifying dangerous situations and to activate an …

… a sound classification model for natural disasters. Deep learning techniques, a convolutional
neural network (… either detection-and-classification [ie, acoustic event detection (AED)] or …

… Support Vector Machines (SVM) and Random Forest [52, 55, 57]… neural network models,
including Convolutional Neural … methodology based on AED, Random Forest Classification, are …

… sound event detection is presented, covering various aspects of the topic, ı.e.feature extraction
… Recurrent and convolutional neural networks models for anomalous SED A hierarchic …

This paper presents a review of anomalous sound event detection (SED) approaches. SED
is becoming more applicable for real-world appliactaions such as security, fire determination …

… are exploring the use of convolutional neural network (CNN), … for the classification of sounds
signals of English alphabets. In … MFCC based features for pretrained two convolutional layer …

… In this paper, we prepare a cow sound artificial dataset and develop a sound event …
propose a convolutional neural network (CNN) architecture for rare sound event detection. …

… that both Random Forest and SVM has better performance compared to the image-based
classifier ie … Diouris, "Sound event classification using neural networks and feature selection …